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Titlebook: Computer Vision – ECCV 2022; 17th European Confer Shai Avidan,Gabriel Brostow,Tal Hassner Conference proceedings 2022 The Editor(s) (if app

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41#
發(fā)表于 2025-3-28 16:25:45 | 只看該作者
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發(fā)表于 2025-3-29 04:23:02 | 只看該作者
,Self-calibrating Photometric Stereo by?Neural Inverse Rendering,ing process. We gradually fit specularities from shiny to rough using novel progressive specular bases. Our method leverages a physically based rendering equation by minimizing the reconstruction error on a per-object-basis. Our method demonstrates state-of-the-art accuracy in light estimation and shape recovery on real-world datasets.
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發(fā)表于 2025-3-29 09:31:12 | 只看該作者
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發(fā)表于 2025-3-29 18:41:15 | 只看該作者
,CostDCNet: Cost Volume Based Depth Completion for?a?Single RGB-D Image, deep neural networks (.1.8M parameters), running in real time (.30?ms). Nevertheless, thanks to our simple but effective design, . demonstrates depth completion results comparable to or better than the state-of-the-art methods.
48#
發(fā)表于 2025-3-29 20:18:33 | 只看該作者
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發(fā)表于 2025-3-30 02:05:02 | 只看該作者
The Economics of the Euro-Currency Systemn—and is the first approach to show the benefit of single rotation averaging for NRS.M. Furthermore, we outline how to effectively recover motion and non-rigid 3D shape using the proposed organic prior based approach and demonstrate results that outperform prior-free NRS.M?performance by a significa
50#
發(fā)表于 2025-3-30 04:02:57 | 只看該作者
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